Crossmedia, Inc.
Sr Data Analyst
Crossmedia, Inc., New York, New York, us, 10261
YOUR ROLEWe are looking for a passionate, collaborative, and adaptable Sr. Analyst to join our team (in a hybrid role - working in office and from home). The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We are nimble and scrappy, employing multiple traditional and non-traditional methods and data sources to tackle consumer insights, audience exploration, brand health, competitive analysis, media attribution, media accountability, data dashboarding and advanced modeling. We believe it is important to guide clients’ media effectiveness measurement to be holistic, capture incrementality, and focus on business outcomes (not vanity media metrics).As a Sr. Analyst you will drive day to day analytics excellence for our clients. You will help promote data driven decision making across the agency and with our clients. You will collaborate with New Business, Strategy, and Account Tems. The agency looks to the Analytics group for direction, strategic thinking, and prowess in data science.You have a love of data, analysis, and creative problem solvingAre comfortable leading client conversationsHave solid organizational skills including attention to detail and multi-tasking agilityAdaptable, proactive, and able to work independently or in a team setting as neededDon’t mind rolling your sleeves up for data cleansing, data visualization, and analysisNot afraid to speak up, ask questions, share your thoughts, and listen to othersRESPONSIBILITIESTransform raw data into engaging visuals and compelling stories. You will bring data and research to life for clients and choose the best visuals and mediums to deliver your message.Translate clients’ business questions into an actionable measurement frameworks.Generate quantitative and qualitative consumer and market research including:
Demographic, psychographic, and behavioral customer profilingMedia channel coverage, penetration, receptivityBrand health deep divesCompetitive analysis
Help media team understand historical media performance, optimal media budget, and allocate budget across multiple media channelsREQUIREMENTS2-3 years of experience in the marketing analytics space.Experience creating data visualizations and dashboards to support media investment decision makingPast use of common media research tools: YouGov, MRI-Simmons, Scarborough, GWI (Global Web Index), Vivvix, Pathmatics, or Nielsen Media ImpactHands on experience with media measurement approaches including marketing mix modelling (MMM), multi-touch attribution (MTA), experimentation, or brand lift studies.Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)Familiarity with programming languages is a plus (R, Python, dbt, SQL)
Location:
This role is hybrid and requires working onsite at our New York office, with flexibility to work from home tooSalary : 75,000-95,000. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position.
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Demographic, psychographic, and behavioral customer profilingMedia channel coverage, penetration, receptivityBrand health deep divesCompetitive analysis
Help media team understand historical media performance, optimal media budget, and allocate budget across multiple media channelsREQUIREMENTS2-3 years of experience in the marketing analytics space.Experience creating data visualizations and dashboards to support media investment decision makingPast use of common media research tools: YouGov, MRI-Simmons, Scarborough, GWI (Global Web Index), Vivvix, Pathmatics, or Nielsen Media ImpactHands on experience with media measurement approaches including marketing mix modelling (MMM), multi-touch attribution (MTA), experimentation, or brand lift studies.Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)Familiarity with programming languages is a plus (R, Python, dbt, SQL)
Location:
This role is hybrid and requires working onsite at our New York office, with flexibility to work from home tooSalary : 75,000-95,000. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position.
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